Hardware-Aware DNN Compression for Homogeneous Edge Devices.

Domain-Agnostic Co-Evolution of Generalizable Parallel Algorithm Portfolios.

Stage-Wise Magnitude-Based Pruning for Recurrent Neural Networks.

Regularity model based offspring generation in surrogate-assisted evolutionary algorithms for expensive multi-objective optimization.

Unmanned Aerial Vehicle-enabled grassland restoration with energy-sensitive of trajectory design and restoration areas allocation via a cooperative memetic algorithm.

A UAV-Enabled Time-Sensitive Data Collection Scheme for Grassland Monitoring Edge Networks.

It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization.

Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models.

Towards Geometry-Aware Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization.

Differential evolution guided by approximated Pareto set for multiobjective optimization.

Multi-Fidelity Simulation Modeling for Discrete Event Simulation: An Optimization Perspective.

An Evolutionary Guardrail Layout Design Framework for Crowd Control in Subway Stations.

Pointer Networks Trained Better via Evolutionary Algorithms.

Diversity from Human Feedback.

Reducing Idleness in Financial Cloud via Multi-objective Evolutionary Reinforcement Learning based Load Balancer.

Region-Focused Memetic Algorithms With Smart Initialization for Real-World Large-Scale Waste Collection Problems.

Evolutionary reinforcement learning via cooperative coevolutionary negatively correlated search.

Near-Optimal Trajectory Design and Restoration Areas Allocation for UAV-Enabled Grassland Restoration.

Few-Shots Parallel Algorithm Portfolio Construction via Co-Evolution.

A heuristic repair method for dial-a-ride problem in intracity logistic based on neighborhood shrinking.

Evolutionary Computation for Large-scale Multi-objective Optimization: A Decade of Progresses.

Parallel exploration via negatively correlated search.

Robust Dynamic Network Embedding via Ensembles.

Optimal Energy-Delay Scheduling for Energy-Harvesting WSNs With Interference Channel via Negatively Correlated Search.

Few-shots Parameter Tuning via Co-evolution.

Negatively Correlated Search as a Parallel Exploration Search Strategy.

A Parallel Divide-and-Conquer-Based Evolutionary Algorithm for Large-Scale Optimization.

Turning High-Dimensional Optimization Into Computationally Expensive Optimization.

A Quality-Sensitive Method for Learning from Crowds.

Negatively Correlated Search.

High-dimensional Black-box Optimization via Divide and Approximate Conquer.

Path Planning for Single Unmanned Aerial Vehicle by Separately Evolving Waypoints.

Improving Estimation of Distribution Algorithm on Multimodal Problems by Detecting Promising Areas.

Negatively Correlated Cooperative Search.